Cusp AI Scientific Developer Relations Manager at Cusp AI to provide scientific expertise and technical guidance to partners. Focus on building technical enablement and advisory frameworks to accelerate AI platform adoption in materials science.
Responsibilities
Due to rapid global growth we are seeking a Scientific Developer Relations Manager to provide deep, scientific-level expertise and technical guidance to our expanding ecosystem of partners.
Your main focus initially will be partnering closely with our Foundry Partnerships Manager to deeply engage our technology and industry partners, translating complex materials science requirements into actionable platform solutions.
Scientific Advisory & Partner Engagement
Act as the primary technical and scientific point of contact for technical leaders, computational chemists, and materials scientists within our partner organizations.
Provide expert, scientific-level advice and recommendations on how to leverage CuspAI's platform to solve complex materials challenges (e.g. semiconductor performance, carbon capture efficiency, or energy storage).
Lead deep-dive technical workshops, code-alongs, and scientific demonstrations that showcase the platform's capabilities to expert external audiences.
Technical Enablement & Content Creation
Build scalable developer resources, including highly technical documentation, sample notebooks, APIs, and reference guides tailored to advanced materials science workflows.
Bridge the gap between high-level community events managed by the Partnerships team and the hands-on technical support required to make partner Discovery Sprints successful.
Cross-Functional Feedback Loop
Collaborate closely with AI Research, Computational Chemistry, and Product teams to channel technical partner feedback directly into the development priorities of our agentic platform.
Partner with Marketing and PR functions to co-author deep-tech case studies, whitepapers, and technical blog posts highlighting novel materials breakthroughs achieved via the platform.
Qualification
You are a confidentUnderstanding of crystallographyAdditional Considerations
Required
You possess a strong academic background or equivalent professional experience in Materials Science, Chemistry, Physics, or Electrical Engineering, allowing you to converse fluently at a peer-level with world-class scientists.
You are a confident, charismatic technical communicator who excels at translating abstract scientific concepts and complex AI platform workflows into clear, actionable advice for a technical audience.
Preferred
Experience managing joint developer or research ecosystem programs alongside major hardware tech giants.
Direct professional background working within a semiconductor foundry, design firm, or electronics materials supplier.
Fluency in a second language relevant to our global hubs (e.g. Japanese, Korean, German).
Understanding of crystallography, materials properties, and advanced machine learning models for property prediction.
Additional Considerations
Expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work.
